tf.contrib.learn.monitors.PrintTensor.epoch_begin(epoch) Begin epoch. Args:

tf.contrib.distributions.Categorical.num_classes Scalar int32 tensor: the number of classes.

tf.contrib.distributions.MultivariateNormalDiag.mean(name='mean') Mean.

tf.contrib.learn.LinearRegressor.set_params(**params) Set the parameters of this estimator. The

class tf.errors.AbortedError The operation was aborted, typically due to a concurrent action. For

tf.contrib.distributions.Exponential.name Name prepended to all ops created by this Distribution.

tf.contrib.distributions.StudentTWithAbsDfSoftplusSigma.batch_shape(name='batch_shape') Shape of a single sample from a single

tf.contrib.distributions.MultivariateNormalFull.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.distributions.Beta.allow_nan_stats Python boolean describing behavior when a stat is undefined. Stats

tf.contrib.distributions.ExponentialWithSoftplusLam.variance(name='variance') Variance.